Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN
Penetration of distributed generation (DG) in the electrical distribution system (EDS) of Manabí province, in Ecuador, is analysed in the present work. Zoning EDS was first done to facilitate the study and understanding of the system with the aim of knowing the existing problems to establish the nec...
| Autores: | ; ; ; ; |
|---|---|
| Tipo de documento: | Artículo |
| Estado: | Accepted version |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad de Jaén |
| Repositorio: | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| OAI Identifier: | oai:ruja.ujaen.es:10953/6159 |
| Acceso en línea: | https://doi.org/10.1016/j.epsr.2023.109886 https://www.sciencedirect.com/science/article/pii/S0378779623007745?via%3Dihub https://hdl.handle.net/10953/6159 |
| Nivel de acceso: | Acceso abierto |
| Palabra clave: | ANN Electrical distribution system Backward/forward sweep PV 621.35 |
| _version_ | 1878731418285113344 |
|---|---|
| author | Balderramo Vélez, Ney Raúl |
| author2 | Cano-Ortega, Antonio Jurado -Melguizo, Francisco Pérez-Rodríguez, Jesús Alberto Llosas-Albuerne, Yolanda |
| author2_role | author author author author |
| author_browse | Balderramo Vélez, Ney Raúl Cano-Ortega, Antonio Jurado -Melguizo, Francisco Llosas-Albuerne, Yolanda Pérez-Rodríguez, Jesús Alberto |
| author_facet | Balderramo Vélez, Ney Raúl Cano-Ortega, Antonio Jurado -Melguizo, Francisco Pérez-Rodríguez, Jesús Alberto Llosas-Albuerne, Yolanda |
| author_role | author |
| collection | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| description | Penetration of distributed generation (DG) in the electrical distribution system (EDS) of Manabí province, in Ecuador, is analysed in the present work. Zoning EDS was first done to facilitate the study and understanding of the system with the aim of knowing the existing problems to establish the necessary criteria for analysing the load flow using the Backward/Forward Sweep (B/FS) method and to know the system’s weaknesses to establish the electrical parameters included in the criteria for decision-making. Additionally, a system of artificial neural networks (ANN’s) type Multi-Layer Perceptron (MLP) was used to obtain the optimal location of the photovoltaic (PV) system in the EDS. Results show that 25 and 26 are the optimal nodes to locate the PV system; improving voltage by 1.14% when functioning at maximum generation up to 0.35% when generating 25% of its nominal capacity and decreasing losses by 24.11% when the system is generating at maximum capacity. Consequently, PV systems can represent a real solution to difficulties in the EDS of Manabí, whenever following technical criteria to guarantee adequate system performance. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_2f2f21fe2dcee2cf795f9455decc5fd8 |
| institution | Universidad de Jaén |
| instname_str | Universidad de Jaén |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:ruja.ujaen.es:10953/6159 |
| publishDate | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| reponame_str | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| spelling | Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN Balderramo Vélez, Ney Raúl Cano-Ortega, Antonio Jurado -Melguizo, Francisco Pérez-Rodríguez, Jesús Alberto Llosas-Albuerne, Yolanda ANN Electrical distribution system Backward/forward sweep PV 621.35 Penetration of distributed generation (DG) in the electrical distribution system (EDS) of Manabí province, in Ecuador, is analysed in the present work. Zoning EDS was first done to facilitate the study and understanding of the system with the aim of knowing the existing problems to establish the necessary criteria for analysing the load flow using the Backward/Forward Sweep (B/FS) method and to know the system’s weaknesses to establish the electrical parameters included in the criteria for decision-making. Additionally, a system of artificial neural networks (ANN’s) type Multi-Layer Perceptron (MLP) was used to obtain the optimal location of the photovoltaic (PV) system in the EDS. Results show that 25 and 26 are the optimal nodes to locate the PV system; improving voltage by 1.14% when functioning at maximum generation up to 0.35% when generating 25% of its nominal capacity and decreasing losses by 24.11% when the system is generating at maximum capacity. Consequently, PV systems can represent a real solution to difficulties in the EDS of Manabí, whenever following technical criteria to guarantee adequate system performance. Elsevier https://doi.org/10.1016/j.epsr.2023.109886 https://www.sciencedirect.com/science/article/pii/S0378779623007745?via%3Dihub https://hdl.handle.net/10953/6159 |
| spellingShingle | Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN Balderramo Vélez, Ney Raúl ANN Electrical distribution system Backward/forward sweep PV 621.35 |
| status_str | acceptedVersion |
| title | Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN |
| title_full | Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN |
| title_fullStr | Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN |
| title_full_unstemmed | Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN |
| title_short | Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN |
| title_sort | Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN |
| topic | ANN Electrical distribution system Backward/forward sweep PV 621.35 |
| topic_facet | ANN Electrical distribution system Backward/forward sweep PV 621.35 |
| url | https://doi.org/10.1016/j.epsr.2023.109886 https://www.sciencedirect.com/science/article/pii/S0378779623007745?via%3Dihub https://hdl.handle.net/10953/6159 |